Carcinogenesis of
lung adenocarcinoma remains unclear and very few
biomarkers have been accepted for routine clinical use. In order to explore the pathogenesis and screen ideal
biomarkers, we conducted cell-map proteomics study in human
lung adenocarcinoma. Homogeneous
lung adenocarcinoma cells were purified by
laser capture microdissection (LCM). A high performance liquid chromatography (HPLC) system was used to separate the total
solution proteins. The resulting MS/MS spectra were automatically searched for
proteins against IPI human protein database using the TurboSEQUEST searching engine. Physico-chemical properties of the identified
proteins, including molecular weight (MW), isoelectric point (PI), were described based on various proteomics web server and statistical analysis. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were used to analyze function of expressed
proteins and screen candidate
biomarkers according to
biological annotation. A total of 843 distinct
proteins were identified and were categorized as 10 sorts of molecular function and 17 sorts of biological process based on GO annotation. Further searching against KEGG pathways found that six
proteins were involved in WNT signaling pathway, apoptosis pathway, Erb-2 signaling pathway, p53 signaling pathway,
ubiquitin-mediated proteolysis and were might be hopefully screened as candidate markers of
lung adenocarcinoma. The present study through LCM and cell-map proteomics showed a full view on the expressed
protein profiles of
lung adenocarcinoma. Several candidate markers are hopeful to be used as molecular targets of diagnosis, treatment and prognosis of
lung adenocarcinoma.